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Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Research

The cost of doubt: assessing the association between attributional ambiguity and mental health

Authors: Adolfo G. Cuevas, David R. Williams, Danielle M. Krobath, Adiammi Lyngdoh, Fatoumata Kaba-Diakité, Jennifer D. Allen

Published in: BMC Public Health | Issue 1/2024

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Abstract

Objective

To quantify the association between attributional ambiguity–the uncertainty of whether an experience is discrimination–and mental health.

Methods

Using a nationally representative sample of U.S. adults recruited through an online survey by Ipsos (April 23 and May 3, 2021), attributional ambiguity was quantified by asking participants if they experienced anything in the past 6 months that they were unsure was discrimination. The survey also assessed the degree to which these experiences caused participants to feel bothered and to ruminate on them. Multiple linear regression models were used to analyze associations between attributional ambiguity and depressive symptoms and mental health status.

Results

Black and Hispanic participants reported higher rates of attributional ambiguity than White participants. Experiencing attributional ambiguity was associated with higher levels of depressive symptoms and poorer self-reported mental health status. Among those who reported attributional ambiguity, increases in bother and rumination scores were positively associated with depressive symptoms.

Conclusion

Attributional ambiguity is an important yet overlooked social determinant of mental health. More research is needed to fully understand the impact of this stressor on population health, particularly among minoritized populations.
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Metadata
Title
The cost of doubt: assessing the association between attributional ambiguity and mental health
Authors
Adolfo G. Cuevas
David R. Williams
Danielle M. Krobath
Adiammi Lyngdoh
Fatoumata Kaba-Diakité
Jennifer D. Allen
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-17664-1

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